Triple
T13715525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Regents of the Texas A&M University System |
E328886
|
entity |
| Predicate | oversees |
P46
|
FINISHED |
| Object |
Texas A&M Engineering Experiment Station
The Texas A&M Engineering Experiment Station is a state engineering research agency affiliated with Texas A&M University that conducts applied research and technology development to support industry, government, and education.
|
E17499
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Texas A&M Engineering Experiment Station | Statement: [Board of Regents of the Texas A&M University System, oversees, Texas A&M Engineering Experiment Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texas A&M Engineering Experiment Station Context triple: [Board of Regents of the Texas A&M University System, oversees, Texas A&M Engineering Experiment Station]
-
A.
Texas A&M Engineering Extension Service
Texas A&M Engineering Extension Service is a public safety, emergency response, and workforce training agency affiliated with the Texas A&M University System that provides specialized education, exercises, and technical assistance worldwide.
-
B.
Texas A&M University
Texas A&M University is a major public research university in College Station, Texas, known for its strong programs in agriculture, engineering, and the sciences.
-
C.
Cullen College of Engineering
Cullen College of Engineering is the engineering school of the University of Houston, offering a range of undergraduate and graduate programs in various engineering disciplines and conducting research in related fields.
-
D.
Texas A&M University System
The Texas A&M University System is a state university system in Texas comprising multiple universities, agencies, and research centers, with Texas A&M University as its flagship institution.
-
E.
University of Texas at Dallas
The University of Texas at Dallas is a public research university in Richardson, Texas, known for its strong programs in engineering, computer science, and business.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Texas A&M Engineering Experiment Station Triple: [Board of Regents of the Texas A&M University System, oversees, Texas A&M Engineering Experiment Station]
Generated description
The Texas A&M Engineering Experiment Station is a state engineering research agency affiliated with Texas A&M University that conducts applied research and technology development to support industry, government, and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Texas A&M Engineering Experiment Station Target entity description: The Texas A&M Engineering Experiment Station is a state engineering research agency affiliated with Texas A&M University that conducts applied research and technology development to support industry, government, and education.
-
A.
Texas A&M Engineering Extension Service
Texas A&M Engineering Extension Service is a public safety, emergency response, and workforce training agency affiliated with the Texas A&M University System that provides specialized education, exercises, and technical assistance worldwide.
-
B.
Texas A&M University
Texas A&M University is a major public research university in College Station, Texas, known for its strong programs in agriculture, engineering, and the sciences.
-
C.
Cullen College of Engineering
Cullen College of Engineering is the engineering school of the University of Houston, offering a range of undergraduate and graduate programs in various engineering disciplines and conducting research in related fields.
-
D.
Texas A&M University System
chosen
The Texas A&M University System is a state university system in Texas comprising multiple universities, agencies, and research centers, with Texas A&M University as its flagship institution.
-
E.
University of Texas at Dallas
The University of Texas at Dallas is a public research university in Richardson, Texas, known for its strong programs in engineering, computer science, and business.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43973cf08190a417d0cca9dd314a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5878948190a2aaab2ba31bd1ed |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e9e6ff88190b031fb1403cacabc |
completed | May 3, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2d6e7ec81908a4cbc324e793c24 |
completed | May 3, 2026, 7:32 p.m. |
Created at: April 9, 2026, 9:54 p.m.